Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems

被引：7

作者：

Mokhtar, Maizura ^{[1
]}

Howe, Joe ^{[1
]}

机构：

[1] Univ Cent Lancashire, Sch Comp Engn & Phys Sci, Preston PR1 2HE, Lancs, England

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 15期

关键词：

Artificial neural network; Adaptive resonance theory; ARTMAP; Gaussian distribution; Gaussian classifier; NEURAL-NETWORK; CLASSIFICATION;

D O I：

10.1016/j.eswa.2013.05.024

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, there has been a growing interest in the application of Fuzzy ARTMAP for use in building energy management systems or EMS. However, a number of papers have indicated that there are important weaknesses to the Fuzzy ARTMAP approach, such as sensitivity to noisy data and category proliferation. Gaussian ARTMAP was developed to help overcome these weaknesses, raising the question of whether Gaussian ARTMAP could be a more effective approach for building energy management systems? This paper aims to answer this question. In particular, our results show that Gaussian ARTMAP not only has the capability to address the weaknesses of Fuzzy ARTMAP but, by doing this, provides better and more efficient EMS controls with online learning capabilities. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：6007 / 6018

页数：12

共 18 条

[1] A novel approach to fault diagnosis in multicircuit transmission lines using fuzzy ARTmap neural networks [J].

Aggarwal, RK ;

Xuan, QY ;

Johns, AT ;

Li, FR ;

Bennett, A .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (05) :1214-1221

[2] Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors Using a Small Molecular Data Set [J].

Andonie, Razvan ;

Fabry-Asztalos, Levente ;

Abdul-Wahid, Christopher Badi' ;

Abdul-Wahid, Sarah ;

Barker, Grant I. ;

Magill, Lukas C. .

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2011, 8 (01) :80-93

[3] FUZZY ARTMAP - A NEURAL NETWORK ARCHITECTURE FOR INCREMENTAL SUPERVISED LEARNING OF ANALOG MULTIDIMENSIONAL MAPS [J].

CARPENTER, GA ;

GROSSBERG, S ;

MARKUZON, N ;

REYNOLDS, JH ;

ROSEN, DB .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (05) :698-713

[4] Distributed intelligent energy management system for a single-phase high-frequency AC microgrid [J].

Chakraborty, Sudipta ;

Weiss, Manoja D. ;

Simoes, M. Godoy .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) :97-109

[5]

Connolly J. F., 2012, APPL SOFT COMPUTING

[6] A fuzzy ARTMAP fault classifier for impulse testing of power transformers [J].

De, A ;

Chatterjee, N .

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2004, 11 (06) :1026-1036

[7] Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network [J].

Decanini, Jose G. M. S. ;

Tonelli-Neto, Mauro S. ;

Malange, Fernando C. V. ;

Minussi, Carlos R. .

ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (12) :2057-2065

[8] Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network [J].

Ferreira, WP ;

Silveira, MDG ;

Lotufo, ADP ;

Minussi, CR .

ELECTRIC POWER SYSTEMS RESEARCH, 2006, 76 (6-7) :466-475

[9] Modelling an absorption system assisted by solar energy [J].

Garcia Cascales, J. R. ;

Vera Garcia, F. ;

Cano Izquierdo, J. M. ;

Delgado Marin, J. P. ;

Martinez Sanchez, R. .

APPLIED THERMAL ENGINEERING, 2011, 31 (01) :112-118

[10] Intelligent characterization and evaluation of yarn surface appearance using saliency map analysis, wavelet transform and fuzzy ARTMAP neural network [J].

Liang, Zhen ;

Xu, Bingang ;

Chi, Zheru ;

Feng, Dagan .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (04) :4201-4212

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